Marine geophysical and oceanographic data from Tropic Seamount and Rio Grande Rise as part of the MarineE-tech project (2016-2020) is #DatasetOfTheWeek Data from the MarineE-tech project were collected via three platforms; ship, Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV). Shipboard data includes multibeam bathymetry, sub-bottom profiler, gravimeter and moorings data, plus CTD casts and gravity core samples. AUV data consists of high-resolution multibeam bathymetry, sub-bottom profiler, CTD, LADCP, turbidity and magnetics data, plus camera stills. ROV data consists of video and camera stills plus grab samples and drill core samples. Also available are numerical model results and input files from the TELEMAC-3D numerical model developed by HR Wallingford and used to predict currents during plume dispersion experiments. Data were collected from the Tropic Seamount in the Northeast Atlantic Ocean between October and December 2016. A second cruise, DY094, collected data from the Rio Grande Rise and Sao Paulo Ridge region in the Southwest Atlantic Ocean from late 2017 to early 2018. The project deployed robotic underwater technology including the use of the 6500m depth-rated ISIS remotely operated vehicle to sample over 100 locations of FeMn crusts and the 6000m rated AUV Autosub6000 to image the lateral extent and thickness of crusts across the seamounts. Benthic landers and moored instruments such as ADCPs (for disturbance plume monitoring) were also deployed. The JC142 oceanographic data provided verification for the TELEMAC-3D numerical model. This research will improve understanding of the processes controlling the concentration of E-tech deposits and their composition at a local scale, and for the potential impacts of mineral recovery to be identified. MarineE-tech is jointly funded by the NERC: Natural Environment Research Council,Security of Supply of Mineral Resources (SoS Minerals), Engineering and Physical Sciences Research Programme (EPSRC), and the Sao Paulo Research Foundation (FAPESP). Other parties involved include the British Geological Survey (BGS), University of São Paulo, University of Bath, University of Leicester, HR Wallingford, Marine Ecological Surveys Ltd (MESL), Secretariat of the Pacific Community (SPC) and Soil Machine Dynamics Ltd (SMD). Find out more and access the data here: https://hubs.la/Q02CpJRP0 #MEDINportal #marinedatasharing
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Marine geophysical and oceanographic data from Tropic Seamount and Rio Grande Rise as part of the MarineE-tech project (2016-2020) is #DatasetOfTheWeek Data from the MarineE-tech project were collected via three platforms; ship, Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV). Shipboard data includes multibeam bathymetry, sub-bottom profiler, gravimeter and moorings data, plus CTD casts and gravity core samples. AUV data consists of high-resolution multibeam bathymetry, sub-bottom profiler, CTD, LADCP, turbidity and magnetics data, plus camera stills. ROV data consists of video and camera stills plus grab samples and drill core samples. Also available are numerical model results and input files from the TELEMAC-3D numerical model developed by HR Wallingford and used to predict currents during plume dispersion experiments. Data were collected from the Tropic Seamount in the Northeast Atlantic Ocean between October and December 2016. A second cruise, DY094, collected data from the Rio Grande Rise and Sao Paulo Ridge region in the Southwest Atlantic Ocean from late 2017 to early 2018. The project deployed robotic underwater technology including the use of the 6500m depth-rated ISIS remotely operated vehicle to sample over 100 locations of FeMn crusts and the 6000m rated AUV Autosub6000 to image the lateral extent and thickness of crusts across the seamounts. Benthic landers and moored instruments such as ADCPs (for disturbance plume monitoring) were also deployed. The JC142 oceanographic data provided verification for the TELEMAC-3D numerical model. This research will improve understanding of the processes controlling the concentration of E-tech deposits and their composition at a local scale, and for the potential impacts of mineral recovery to be identified. MarineE-tech is jointly funded by the NERC: Natural Environment Research Council,Security of Supply of Mineral Resources (SoS Minerals), Engineering and Physical Sciences Research Programme (EPSRC), and the Sao Paulo Research Foundation (FAPESP). Other parties involved include the British Geological Survey (BGS), University of São Paulo, University of Bath, University of Leicester, HR Wallingford, Marine Ecological Surveys Ltd (MESL), Secretariat of the Pacific Community (SPC) and Soil Machine Dynamics Ltd (SMD). Find out more and access the data here: https://hubs.la/Q02CpJvk0 #MEDINportal #marinedatasharing
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Research & Innovation | Circular Economy in Raw Materials | Mineral Exploration and Mining Engineering | ESG lead | Supporting Entrepreneurship Ecosystem for the Raw Materials Sector
Creating a Unique Value Proposition for drone-based environmental and geophysical surveys. And I found this article! A good overview of the applications. If you know the companies who are working in this field and you are open to share, leave the company webpage as a comment. Thank You! #sharingiscaring #exploration #drone #environment #geophysics
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Surveying and Geomatics Expert | GIS and Remote Sensing Specialist | chief surveyor | Sales & Business Development Manager
Single Beam EchoSounder (SBE) is a device used in oceanography and marine geophysics to measure water depth. It operates by transmitting sound pulses (echoes) from the transmitter unit through water towards the seafloor. The receiver unit then detects the echoed sound pulses returning from objects on the seabed. A processing unit calculates the time taken for the signal to return after hitting objects on the seabed. Key Components: Transmitter: Generates sound pulses directed towards the seafloor. Receiver: Detects echoed sound pulses from objects on the seabed. Processing Unit:Computes the return time of the signal for depth calculation. Applications: Hydrographic Mapping: Precisely maps seabed topography. Environmental Research:Analyzes marine environments and changes. Navigation:Determines depths for safe ship navigation. Advantages: High Measurement Accuracy: Provides precise water depth measurements. Ease of Use: Relatively simple to operate and maintain. Versatile:Functions effectively in various marine conditions. Challenges: Environmental Impact:Accuracy may be affected by strong waves or sediment. Maintenance:Requires periodic maintenance for optimal performance. Technological Developments: Enhanced Accuracy: Utilizes advanced digital processing and improved acoustic frequencies. Expanded Capabilities: Develops SBE systems for deep and precise marine research. In summary, the Single Beam EchoSounder is crucial in marine research and oceanography, facilitating accurate mapping of seabed topography and supporting diverse marine applications.
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🛩️ Airborne Geophysical Surveys to Elevate Mineral Exploration and Environmental Studies 🛩️ 🌐 Explore the pivotal role of airborne geophysical surveys in advancing mineral exploration and environmental monitoring. This article delves into how these surveys, conducted from aircraft or drones, use various geophysical methods like magnetic, electromagnetic, and radiometric to map the Earth's subsurface properties. Learn about the advantages of airborne surveys, including their ability to cover large and often inaccessible areas quickly and with high resolution. Discover how the data collected supports the mining industry in identifying potential mineral deposits and aids environmental scientists in assessing water resources and environmental impacts. Understand the challenges involved and the technological innovations that are enhancing the precision and efficiency of airborne geophysical surveys. 🌍🔍 👉 Read the full article on Highways Today: https://lnkd.in/eurQ4C3A #Geophysical #Surveys #Mineral #Exploration #EnvironmentalMonitoring #HighwaysToday #AirborneTechnology #SubsurfaceMapping #ResourceManagement
New approach developed for Aerial Geophysical Surveys New approach developed for Aerial Geophysical Surveys
https://highways.today
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In continuation of our last post, here's a closer look at the five essential technical electives required for the Hydrographic Surveying Option: GGE5011: Oceanography, Tides, and Water Levels. Uncover the intricacies of physical oceanography, focusing on the impacts of the ocean environment on hydrographic surveying. Dive into the factors influencing hydrographic surveying accuracy, from sound speed structures (seawater properties, propagation, and refraction) to tidal observations and vertical datums. GGE5012: Marine Geology and Geophysics. Explore marine geology and geophysics, emphasizing coastal zones and continental shelves. Understand the impact of surficial sedimentology on survey accuracy and delve into seafloor processes, bottom backscatter strength, and marine geophysics, including seismic surveying. GGE5042: Kinematic Positioning. Navigate the world of marine, land, airborne, and space vehicle positioning. From autonomous to satellite methods, grasp the performance requirements, mathematical models, and observation strategies associated with precise positioning. GGE5311: Advanced Hydrography. Elevate your skills in ocean mapping data acquisition, processing, and delivery. Learn the ins and outs of multibeam sonar system setup, troubleshooting, and advanced data processing, including water column object detection. GGE5083: Hydrographic Field Operations. This field camp immerses you in a Complex Multidisciplinary Field Project (CMFP) focused on survey vessel operations. From survey planning to data processing, tackle real-world challenges in ocean mapping and nautical charting. #hydrography #OceanMapping #IHOCatA #hydrospatial
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⭐ GEODESY IN NAVIGATION SETUP EXPLAINED ⭐ featuring #eiva and #qinsy Let's start afresh One of the rule of thumbs of setting-up a navigation system is the 3 Gs ➡️ Geodesy ➡️ GPS ➡️ Gyro-compass 🚀 In the next 3 pages, I will try to explain as simply as possible why everything in your 'Geodesy' setting in navigation software is relevant. I hope you will like it 😉 First, we need to understand what a CCS is ⭐ CARTESIAN COORDINATE SYSTEM ⭐ Remember those transparent cubes in which a #model of a person's head can be embedded? That's how simple it is to model and locate parts or the whole of any 3D object Let's call that X,Y,Z with infinite dimension Cartesian (Rectangular) Coordinate System - CCS. ⭐ Relevance: It is the most accurate for #coordinate (positioning) system and its what GPS #satellites are positioned with BUT... ➡️ Where do we place the 0 origin of the cube? ➡️ Assuming we know the centre of the earth, can we place the cube origin there? 🤨 Half of the earth will have negative value coordinates ➡️ Besides, how do we even define the centre of the earth if the shape and size is unknown? ➡️ How do we make paper maps from CCS? To answer these questions, let's simplify the shape of the earth and get on the way... ⤵️ https://lnkd.in/dqaGU5bZ 🚀 Kindly drop your reaction and continue with the practical steps of starting your Geodesy Settings in @Navipac and @Qinsy #surveyor #chart #datum #offshore #vessel #eiva #gps #geophysical #geomatic #qinsy #map
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Explor distills #onshore #seismic #dataacquisition to its essence. Here, a STRYDE node discretely placed along the edge of the road records the seismic waves created by one of Explor's INOVA Geophysical AHV-IV seismic vibrators. In the past few years, Explor has acquired high #quality, high-density 2D and 3D seismic #data in support of #CCS in three countries, allowing us to drive efficient #operations with the lowest #HSE exposure per recorded trace, together with the lightest #environmental footprint in the #industry. We can now able to offer high density 2D acquisition on roads in the #US #Midwest for less than $5K/mile including permits and processing, subject to a minimum project size of 20 km. Our large inventory of nodes allows us to offer both tight spatial sampling and long offsets. How do we do it? - Safely. Small teams dramatically reduce risk exposure, and we work hard to make the right decisions to mitigate risk and ensure that we complete operations safely. - Trained and certified traffic controllers are built into our operations, with traffic control plans conforming to local and state #regulations, allowing us to ensure that traffic moves safely around our vibrators. - We assign a dedicated field liaison supported by our land permitting team to ensure that the #communication plan we develop with our clients is well implemented. - Nodes have replaced cables and have made high density acquisition much more efficient in these areas. - Together with autonomous acquisition and advanced #GIS and InField QC, we have eliminated the recorder and the observers. - We have eliminated surveying as a separate activity in our operations. All positioning occurs in real-time, with near-real-time updates on our #IntelliSeis Dashboard. - We work with #dataprocessing companies to ensure that the processed data meets our customers expectations. However, if a customer has a preferred processor, we will work with that preferred processor. Finally, our relentless determination to continuously improve our operations means that we include testing of new #technology on every project. Whether it is one of several new seismic sources we are developing, testing new receiver nodes, integrating #multiphysics and #remotesensing or working with #robots and #drones, we are always pushing the boundaries and expanding the possible. #geophysics #geoscience #geology #innovation #engineering #business #agility #efficiency #environment #CCUS #geothermal #oilandgas #mining #helium #hydrogen #lithium #copper
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"Top 62 Women in Aviation & Aerospace to follow on Linkedin" Disruption DeepTech NewSpace NewSpaceEconomy Web3 RWAs Crypto Blockchain Digital SustainableWorld - Only for information , No trading & No investment advice
Abstract:"Since the launch of the Landsat missions, they have been widely employed for monitoring water environments. However, the designed revisiting period of Landsat satellites is 16 days, leading to large uncertainties when tracking long-term changes in water environmental parameters characterized by high spatiotemporal dynamics. Given this challenge, comprehensive assessments of the global distribution of cloud-free observations (NCOs) obtained from Landsat missions and their applications in water environments and hydrology are currently unavailable. In this study, we utilized >4.8 million images acquired from Landsat-5, Landsat-7, and Landsat-8 to quantify and analyze the spatiotemporal variations of NCOs on a global scale. Our findings indicate that while NCOs demonstrate substantial spatial and temporal heterogeneities, Landsat-8 provides nearly twice as many mean annual NCOs (21.8 ± 14.7 year−1) compared to Landsat-7 (10.8 ± 4.8 year−1) and Landsat-5 (8.3 ± 5.6 year−1). Moreover, we examined how the overlap area of adjacent orbits contributes to improving NCOs, noting that nearly all Landsat observation areas above 45°N are covered by overlapping paths in the east–west direction. Additionally, we conducted an analysis of the potential uncertainties arising from Landsat NCOs in obtaining long-term trends of various water parameters, including total suspended sediment (TSS) concentration, water level, water surface temperature (WST), and ice cover phenology. The results revealed that the uncertainty in water quality parameters (i.e., TSS) from Landsat is much higher than that in hydrological parameters (i.e., water level and WST). The quantification of NCOs and assessment of their impact on water parameter estimations contribute to enhancing our understanding of the limitations and opportunities associated with utilizing Landsat data in water environmental and hydrological studies." https://lnkd.in/e5MM-3Zj
Quantifying Cloud-Free Observations from Landsat Missions: Implications for Water Environment Analysis | Journal of Remote Sensing
spj.science.org
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Surveying, Geomatics, Geodesy, Remote sensing, UAV, Laser scanning, 3D reality Capture, Geo-spatial data infrastructure, Deep Learning, machine vision.
🌍 The Shape and Size of the Earth: Understanding the Geometry of the #Ellipsoid In geodesy, one of the most fundamental concepts is understanding the shape and size of our #planet. While the Earth may seem perfectly spherical at first glance, it's closer to an oblate ellipsoid – slightly flattened at the poles and bulging at the equator. This distinction significantly impacts how we measure and model the Earth. 🔵 The Geometry of the Ellipsoid: The ellipsoid is defined by two main dimensions: Semi-major axis (a) – The radius at the #equator is the largest dimension. Semi-minor axis (b) – The poles' radius is slightly shorter. The flattening, or the degree of this "squash," is calculated as Flattening (f) = (a - b) / a For example, the widely used #WGS84 #ellipsoid, which serves as the basis for GPS, has: Semi-major axis (a): ~6,378.137 km Semi-minor axis (b): ~6,356.752 km 🚀 Why Does This Matter? The ellipsoid provides a simplified #mathematical model of the Earth's shape that is essential for precise positioning, navigation, and mapping. Whether you're using GPS, conducting geodetic surveys, or analyzing satellite data, understanding the Earth's ellipsoid shape helps ensure accuracy across all geospatial applications. 🌐 By acknowledging the slight variations in the #Earth's shape, #geodesists, and surveyors can make more accurate measurements of distances, directions, and locations, ensuring that all #geospatial #data aligns with real-world #coordinates. As technology advances, refining our understanding of the Earth's size and shape continues to be a cornerstone of accurate geospatial and geodetic #sciences. Benha University Faculty of Engineering at Shoubra #Geodesy #Ellipsoid #EarthShape #Surveying #Mapping #GNSS #GIS #GeospatialTech #Geomatics #ModernGeodesy
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🔍The worlds deepest under – ocean sinkhole has been found by researchers using our SWiFT CTD! Previously believed to be the second-deepest of its kind, the Taam Ja’ Blue Hole (TJBH) is now recognized as the deepest known blue hole. TJBH was previously measured at approximately 274m by echosounders but recent measurements conducted by Valeport’s SWiFT CTD profiler found depths exceeding 420 metres, confirming TJBH as the world’s deepest known blue hole. Single CTD profiles were taken at each campaign with simultaneous measurements of water pressure, temperature and conductivity throughout the water column. Featuring survey-grade sensor technology, the SWiFT CTD profiler offers the convenience of Bluetooth wireless technology, a rechargeable battery and an integrated GNSS module for accurate profile geolocation. This highlights the importance of advanced technology like the SWiFT CTD profiler in marine research. We look forward to being involved in future exciting projects and being able to contribute to the understanding of complex underwater environments. Thank you to hydro for featuring us in your article, click here to read the full story 👉 https://lnkd.in/etsUAZ9q #ctd #hydrography #oceanography #conductivity #pressure #depth #temperature #profiler #ocean #environmental
World's deepest under-ocean sinkhole found by researchers
hydro-international.com
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